Saved in:
| Main Authors: | Zhang, Jihong, Liang, Xinya, Deng, Anqi, Bonge, Nicole, Tan, Lin, Zhang, Ling, Zarrett, Nicole |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.21997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
by: Wuttke, Alexander, et al.
Published: (2024)
by: Wuttke, Alexander, et al.
Published: (2024)
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
by: Tian, Yuan, et al.
Published: (2025)
by: Tian, Yuan, et al.
Published: (2025)
AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer
by: Leybzon, Danny D., et al.
Published: (2025)
by: Leybzon, Danny D., et al.
Published: (2025)
AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing
by: Huang, Yinghui, et al.
Published: (2025)
by: Huang, Yinghui, et al.
Published: (2025)
Model Selection Posterior Predictive Model Checking via Limited‐Information Indices for Bayesian Diagnostic Classification Modeling
by: Jihong Zhang, et al.
Published: (2024)
by: Jihong Zhang, et al.
Published: (2024)
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
by: Xu, Huimin, et al.
Published: (2025)
by: Xu, Huimin, et al.
Published: (2025)
Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
by: De Baer, Joachim, et al.
Published: (2025)
by: De Baer, Joachim, et al.
Published: (2025)
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science
by: Cohn, Clayton, et al.
Published: (2024)
by: Cohn, Clayton, et al.
Published: (2024)
Interview AI-ssistant: Designing for Real-Time Human-AI Collaboration in Interview Preparation and Execution
by: Liu, Zhe
Published: (2025)
by: Liu, Zhe
Published: (2025)
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
by: Najjar, Ayat, et al.
Published: (2025)
by: Najjar, Ayat, et al.
Published: (2025)
A Few Good Clauses: Comparing LLMs vs Domain-Trained Small Language Models on Structured Contract Extraction
by: Lincoln, Nicole, et al.
Published: (2026)
by: Lincoln, Nicole, et al.
Published: (2026)
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
by: Jing, Liqiang, et al.
Published: (2024)
by: Jing, Liqiang, et al.
Published: (2024)
Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop
by: Han, Lifeng, et al.
Published: (2025)
by: Han, Lifeng, et al.
Published: (2025)
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
by: Long, Lin, et al.
Published: (2024)
by: Long, Lin, et al.
Published: (2024)
LLMs for Explainable AI: A Comprehensive Survey
by: Bilal, Ahsan, et al.
Published: (2025)
by: Bilal, Ahsan, et al.
Published: (2025)
Generative Personality Simulation via Theory-Informed Structured Interview
by: Wang, Pengda, et al.
Published: (2025)
by: Wang, Pengda, et al.
Published: (2025)
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
by: Tan, Jiejun, et al.
Published: (2024)
by: Tan, Jiejun, et al.
Published: (2024)
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)
by: Fang, Xi, et al.
Published: (2024)
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
by: Liang, Yuxin, et al.
Published: (2024)
by: Liang, Yuxin, et al.
Published: (2024)
Generating Medically-Informed Explanations for Depression Detection using LLMs
by: Chen, Xiangyong, et al.
Published: (2025)
by: Chen, Xiangyong, et al.
Published: (2025)
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
by: Zhang, Anqi, et al.
Published: (2024)
by: Zhang, Anqi, et al.
Published: (2024)
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
by: Li, Ruosen, et al.
Published: (2024)
by: Li, Ruosen, et al.
Published: (2024)
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Experiments
by: Zhang, Ziyuan, et al.
Published: (2025)
by: Zhang, Ziyuan, et al.
Published: (2025)
Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
by: Lin, Luyang, et al.
Published: (2025)
by: Lin, Luyang, et al.
Published: (2025)
Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AI
by: Sett, Arindam, et al.
Published: (2024)
by: Sett, Arindam, et al.
Published: (2024)
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
by: Zeng, Yi, et al.
Published: (2024)
by: Zeng, Yi, et al.
Published: (2024)
Therapy as an NLP Task: Psychologists' Comparison of LLMs and Human Peers in CBT
by: Iftikhar, Zainab, et al.
Published: (2024)
by: Iftikhar, Zainab, et al.
Published: (2024)
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
by: Li, Zichong, et al.
Published: (2025)
by: Li, Zichong, et al.
Published: (2025)
DataPuzzle: Breaking Free from the Hallucinated Promise of LLMs in Data Analysis
by: Zhang, Zhengxuan, et al.
Published: (2025)
by: Zhang, Zhengxuan, et al.
Published: (2025)
Is Grokking Worthwhile? Functional Analysis and Transferability of Generalization Circuits in Transformers
by: He, Kaiyu, et al.
Published: (2026)
by: He, Kaiyu, et al.
Published: (2026)
LLMs as Span Annotators: A Comparative Study of LLMs and Humans
by: Kasner, Zdeněk, et al.
Published: (2025)
by: Kasner, Zdeněk, et al.
Published: (2025)
FlowMind: Automatic Workflow Generation with LLMs
by: Zeng, Zhen, et al.
Published: (2024)
by: Zeng, Zhen, et al.
Published: (2024)
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
by: Ge, Ling, et al.
Published: (2024)
by: Ge, Ling, et al.
Published: (2024)
From Voices to Validity: Leveraging Large Language Models (LLMs) for Textual Analysis of Policy Stakeholder Interviews
by: Liu, Alex, et al.
Published: (2023)
by: Liu, Alex, et al.
Published: (2023)
A Survey on Human-Centric LLMs
by: Wang, Jing Yi, et al.
Published: (2024)
by: Wang, Jing Yi, et al.
Published: (2024)
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Leveraging LLMs for Translating and Classifying Mental Health Data
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
LLM4SR: A Survey on Large Language Models for Scientific Research
by: Luo, Ziming, et al.
Published: (2025)
by: Luo, Ziming, et al.
Published: (2025)
Can We Reliably Rank Model Performance across Domains without Labeled Data?
by: Rammouz, Veronica, et al.
Published: (2025)
by: Rammouz, Veronica, et al.
Published: (2025)
Machine Unlearning in Generative AI: A Survey
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
Similar Items
-
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
by: Wuttke, Alexander, et al.
Published: (2024) -
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs
by: Tian, Yuan, et al.
Published: (2025) -
AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer
by: Leybzon, Danny D., et al.
Published: (2025) -
AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing
by: Huang, Yinghui, et al.
Published: (2025) -
Model Selection Posterior Predictive Model Checking via Limited‐Information Indices for Bayesian Diagnostic Classification Modeling
by: Jihong Zhang, et al.
Published: (2024)